Abstract: An omnidirectional image processing apparatus is provided that enables the visibility of a specified monitoring object in an omnidirectional image to be improved while maintaining the continuity of that omnidirectional image. An omnidirectional image processing apparatus (400) is an apparatus that performs image processing on an omnidirectional image, and has a monitoring object specification section (405) that specifies a monitoring object photographed in the omnidirectional image, an image rotating section (406) that rotates the omnidirectional image so that the position of a specified monitoring object becomes upper-central, and a center position moving section (407) that moves the center position of the omnidirectional image rotated by the image rotating section (406) downward by means of warping processing.

Abstract: A method and system for correcting the inclination of a scanned document in which two integers “a” and “b” are input to perform a rotation process. Each time an x-coordinate of a target pixel of a rotated image is changed by one pixel, “a” is added to a factor “kwy”. When “kwy” becomes more than or equal to “b”, “b” is subtracted from “kwy”, and a y-coordinate of a corresponding target pixel of an original image is changed by one pixel. Each time a y-coordinate of the target pixel is changed by one pixel, “a” is added to a factor “kwx”. When “kwx” becomes more than or equal to “b”, “b” is subtracted from “kwx”, and an x-coordinate of the corresponding target pixel of the original image is changed by one pixel. Four pixels including the corresponding target pixel are used to acquire a pixel value of the target pixel by two-dimensional interpolation by ratios acquired by dividing “kwx” and “kwy” respectively by “b”.

Abstract: A system and method for automatically recognizing words or phrases in text.

Abstract: According to one embodiment, an information processing device includes a position detecting section configured to detect a position of a hand from an input image of the hand, a memory section configured to store data of the position of the hand detected by the position detecting section, a rotation judging section configured to judge, assuming that records of the data of the position of the hand stored in the memory section show a rotary movement, that a latest position of the hand falls in an angle range predicted for the rotary movement, and an executing section configured to, when the rotation judging section judges that the latest position of the hand falls in the angle range, obtain a rotational angle at the latest position of the hand and also execute a process that corresponds to a predetermined rotary movement of the hand.

Abstract: Systems and methods for socially-based correction of tilted images. In an embodiment, the present invention levels tilted images by (1) receiving an image; (2) rotating the image by a random angle; (3) requesting at least one user rotate the image to level the image; (4) determining a collective user-suggested angle based on the rotations of each user; and (5) transmitting, over a communication network, a correction angle, where the correction angle is based on the random angle and the collective user-suggested angle.

Abstract: A data-generating apparatus comprising a bitmap data-generating unit to generate binary bitmap data indicating an image-formed area and an image-excluding area based on the figure information in response to the figure-describing data being inputted, a judging unit to judge whether modifying information is included in the figure-describing data, a modifying unit to modify the bitmap data based on the modifying information, and an image-forming data-generating unit to generate the image-forming data based on the bitmap data modified by the modifying unit and the pattern information in response to the judging unit determining that the modifying information is comprised in the figure-describing data and generates the image forming data based on the bitmap data generated by the bitmap data-generating unit and the pattern information in response to the judging unit determining that no modifying information is comprised in the figure-describing data, is provided.

Abstract: A method of automatically establishing the correct orientation of an image using facial information. This method is based on the exploitation of the inherent property of image recognition algorithms in general and face detection in particular, where the recognition is based on criteria that is highly orientation sensitive. By applying a detection algorithm to images in various orientations, or alternatively by rotating the classifiers, and comparing the number of successful faces that are detected in each orientation, one may conclude as to the most likely correct orientation. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images.

Abstract: A method for rigid registration of ear impression models, including: extracting a canal region from an undetailed ear impression model, the undetailed ear impression model representing an undetailed surface of an ear canal and outer ear geometry; extracting a canal region from a detailed ear impression model, the detailed ear impression model representing a detailed surface of the ear canal; generating an orientation histogram for the canal region of the undetailed ear impression model and an orientation histogram for the canal region of the detailed ear impression model; performing a rotational alignment between the orientation histograms; computing a translational shift between the canal regions after performing the rotational alignment; and performing a registration between the undetailed and detailed ear impression models after computing the translational shift.

Abstract: An face image detection device capable of detecting the location of the face image with high accuracy without increasing time for detecting the location of the face image or electric consumption required for detecting the location of face image includes: a rotated reduced image data generation unit operable to generate n pieces of rotated reduced image data by reducing the input image data and rotating the reduced input image data by 360 ×i/n, where n is an integer equal to or larger than 2 and i ranges from 0 to n?1, each of the rotated reduced image data is rotated at intervals of 360/n degrees; and a face detection unit operable to detect the location of the face image from among the n pieces of rotated reduced image data.

Abstract: A method and apparatus for correcting misalignment between fields of view of a CT device and a NM device of a modular multimodality medical imaging system, by providing a Field Of View Calibration Matrix (FOV-CM) containing rotational and translational transformations between coordinate systems of the CT and NM systems.

Abstract: A method for creating a pixel image in a two-dimensional display coordinate system from sampled data derived from a collector of a scanned beam imager adapted to transmit a beam of radiation which traces a trajectory in a two-dimensional acquisition coordinate system. The trajectory contains datum locations in the acquisition coordinate system associated with the sampled data. The method includes receiving the sampled data. The method also includes adjusting a mathematical model of the trajectory based on a function of at least one of rotation, translation, and desired scaling of the model of the trajectory. The method also includes constructing the pixel image in the display coordinate system from the adjusted model of the trajectory.

Abstract: For example, a plurality of elliptical candidate areas that become candidate areas of detecting objects are set in an image, characteristic values such as average values of luminance of the pixels inside and outside the set candidate areas are compared, and a candidate area whose difference of the characteristic values is determined to be the maximum is detected as the area of the detecting object. In addition, central moment of the detecting object is calculated, and the inclination of the detecting object in the image is detected based on the calculated central moment. Further, two specific points such as eyes of the driver included in the detecting object are detected, and the inclination of the detecting object in the image determined by the detected two points is detected.

Abstract: Certain embodiments of the present invention provide an improved system and method for image file header configuration. Certain embodiments of the method include retrieving one or more criterion for configuration of an image orientation parameter, configuring the image orientation parameter based on the one or more criterion, obtaining image data, and storing the image data in an image file. The image file has a header portion including the image orientation parameter. In an embodiment, the image orientation parameter may be modified from a default configuration. The one or more criterion may include user preference, modality restriction, system preference, and/or rule, for example. The method may further include saving the image file with the configured image orientation parameter. Additionally, the method may include displaying an image according to the configured image orientation parameter. The image may be automatically oriented for display based on the configured image orientation parameter.

Abstract: A method of detecting the orientation of a radiographic image represented by a digital signal representation wherein mathematical moments of the digital signal representation are calculated relative to different reference entities and wherein a decision on the orientation of the radiographic image, for example the position of the thorax edge in a mammographic image, is obtained on the basis of an extreme value (minimum, maximum) of the calculated moments.

Abstract: Systems, methods, and apparatus, including computer program products, are provided for forming composite images. In some implementations, a method is provided. The method includes receiving a set of component images for forming a composite image, defining a projection for the set of images transforming each component image into a projected component image, and rendering the projected component images to form the composite image. The rendering of each component image includes decomposing a rotation of the projection into separate rotations for each axis, rotating the component image along a first axis, separately identifying pixel values for each row and each column of the projected component image, and rotating the image along a third axis to form a rendered component image.

Abstract: An image generation apparatus includes an acquisition unit and a generation unit. The acquisition unit acquires information to be embedded in each of a plurality of partitions on a recording medium. The generation unit generates an image in which first pattern images representing the information and a second pattern image controlling acquisition of the information from the first pattern images are placed in each of the plurality of partitions. The first and second pattern images are ones of mCn pattern images which are obtained by placing a unit image in n points selected from among m points where m and n are natural numbers, m?4, and 2?n<m.

Abstract: The registration of images comprising generating a plurality of projections from a base frame and generating a plurality of projections from a movement frame. Comparing a set of projections from the base frame, with a second set of projections from the movement frame, and generating a global motion vector estimate to add to the base frame.

Abstract: A printing system for printing an image swath by swath according to image data that is provided to an image memory buffer in raster format. The printing system includes a carriage that moves a printhead with a plurality of columnar marking elements based on input provided by an encoder and a printer controller for reformatting the image data and controlling the marking elements.

Abstract: A method for self-recalibration of a structured light vision system including a camera and a projector. A camera plane and a projector plane are defined, a Homography matrix between the camera plane and the projector plane is computed, and a translation vector and a rotation matrix are determined from Homography-based constraints. A computer vision system implementing the method is also described.

Abstract: A method for accessing image data and a method for accessing YUV420 image data are disclosed. The method for accessing image data uses two different approaches to a buffer for accessing the JPEG image data, so that the method can achieve instant JPEG image data compression with only one buffer.

Abstract: The present invention provides an image processing apparatus for performing image processing of image data in which information specifying, on a first coordinate system, a position of a portion of interest in an image is recorded, including an image processing unit configured to perform rotation processing of the image data using a second coordinate system having an origin different from that of the first coordinate system, and a change unit configured to change the information specifying the position of the portion of interest in accordance with a rotation amount of the image data by the rotation processing such that an image of the portion of interest specified by the information specifying the position of the portion of interest after the rotation processing matches that before the rotation processing.

Abstract: A method of rotating a digital image includes performing a first pass to process a selected image tile of a source image. The first pass includes copying a set of pixels of the selected image tile from a first memory to a processor memory, where the set of pixels comprises a portion of the selected image tile. The first pass further includes grouping the set of pixels into blocks of pixels and writing each of the blocks of pixels to a memory location. The method further includes repeating the first pass until each of the pixels of the selected image tile is processed, performing a second pass to process the blocks of pixels, and repeating the second pass until each of the blocks of pixels is processed. The second pass includes copying blocks of pixels, regrouping the blocks of pixels, and writing the regrouped pixels to a destination image location.

Abstract: A rotation angle detection apparatus which detects a rotation angle with respect to a reference disposition position of an object included in a detection subject image, includes: a plurality of kinds of pixel extraction pattern for extracting a plurality of pixels which detect an image feature amount from pixels configuring the detection subject image; a feature amount detector which detects, for each pixel extraction pattern, an image feature amount of the extracted plurality of pixels; a likelihood memory which stores a likelihood of the rotation angle, correlated in advance to the image feature amount, for each pixel extraction pattern; and a rotation angle determiner which determines a rotation angle which has a greatest likelihood, based on the image feature amount corresponding to each pixel extraction pattern and on the likelihood, as the rotation angle of the object.

Abstract: The class of a sheet is efficiently estimated and a pattern identification process which is robust to a variation in the medium can be performed by dividing an image pattern of the sheet into a plurality of areas (pixels or sets of pixels), weighting and selecting the areas, attaining the identification results for the respective areas and determining the identification result of the whole portion based on a logical combination of the identification results. Particularly, since the area weighting and selecting process is performed based on a difference between the classes and a variation in the class, the calculation amount can be reduced and the identification performance which is higher than that of a method which uniformly processes the whole portion of the pattern can be attained.

Abstract: A method and system for forming a surrounding seamless bird-view image by processing a plurality of surrounding images associated with a carrier captured by different imaging devices is provided in the present invention. During the process, the surrounding images are converted into corresponding bird-images respectively and then an overlapping area corresponding to each two adjacent bird-view images is determined. After that, distances between the pixel in the overlapping area and the boundary of the overlapping area in each adjacent bird-view image is calculated so as to determine a weighting value for each corresponding pixel in each adjacent bird-view image thereby forming an overlapping image, wherein each pixel in the overlapping image is determined according to the weighting value and information of the corresponding pixel in each adjacent image. After determining the overlapping image for each two adjacent bird-view image, it is capable of forming the surrounding seamless bird-view image.

Abstract: The registration of images comprising segmenting an image in a frame into a set of sectors which forms a circle. Generating a plurality of sets of projections in a base frame, wherein each set of projections is generated from any sector amongst the set of sectors from the base frame. Also generating a plurality of sets of projections in a movement frame, wherein each set of projections is generated from any sector amongst the set of sectors from the movement frame. Then summing each set of projections, from any sector amongst the set of sectors from the base frame and summing each set of projections from any sector amongst the set of sectors from the movement frame. Furthermore, comparing a set of each sum of projections from the base frame with a set of each sum of projections from the movement frame, and generating a rotation angle estimate to add to the base frame.

Abstract: A system facilitates printing of microtext. A processing component allows a user to create one or more microtext characters, wherein the characters are output as a data packet. An SRE code store receives and associates one or more SRE codes with the data packet, each SRE code is representative of a bit pattern, wherein the bit pattern is a grid of bits that are filled to create a particular pattern. A font bank receives the one or more SRE codes from the SRE code store and defines such codes via a font. A raster image processor receives the font from the font bank, decodes the font and outputs instructions to print the microtext.

Abstract: An iris biometric image is analyzed to determine the apparent angle of the eye in the image, relative to an arbitrarily selected reference axis. The angle information is stored for use by the matching engine and/or the image data is modified to normalize the angle relative to the reference axis. In this manner, rotationally normalized data may be stored to facilitate future comparisons, and images obtained in real time may be used for iris identification in a matching engine that automatically compensates for angular variation.

Abstract: A portable electronic device is disclosed. The portable electronic device includes: an image capturing device, for capturing a first image; a focal distance measuring device, for measuring a plurality of focal distances corresponding to a plurality positions of the first image; a display device, for outputting a picture; and a motion detecting controller, for determining variations of the plurality of focal distances measured by the focal distance measuring device when the portable electronic device moves or rotates, and controlling the picture shown in the display device according to the variations of the plurality of focal distances.

Abstract: An image processing apparatus includes an image acquisition section, a combination detection section and an angle detection section. The image acquisition section acquires a code pattern image from a surface of a recording medium on which the code pattern is formed. In the code pattern, N unit images are selectively placed in M reference positions that are arranged at predetermined intervals in two directions orthogonal to each other where M?4 and 2?N<M. The combination detection section detects pairs of the unit images based on the predetermined intervals and respective positions of the unit images contained in the code pattern image acquired. The angle detection section detects a rotation angle of the code pattern image with respect to a predetermined reference axis based on an inclination of a line, with respect to the predetermined reference axis, connecting the unit images of each pair detected.

Abstract: An apparatus for determining orientation of an image, comprising: an image receiver, configured to receive the image, and an orientation determiner, associated with the image receiver and configured to automatically determine the orientation of the image, based on analysis of internal image information.

Abstract: The procedure of the present invention estimates a correction rate for elimination of a positional shift between the multiple first images, executes correction with the estimated correction rate to eliminate the positional shift between the multiple first images, and combines the multiple corrected first images to generate the second image. The procedure selects a target pixel among pixels included in the second image, and detects multiple adjacent pixels respectively in the multiple first images, which adjoin to the selected target pixel. The procedure then selects an image as a composition object or a composition object image with regard to the target pixel among the multiple first images according to the multiple adjacent pixels, and calculates a pixel value of the target pixel based on the composition object image.

Abstract: An image morphing method is suitable for generating an intermediate image sequence. First, a control point CP={(pi,qi)}i=1 . . . N is specified and marked in a source image Is({right arrow over (x)}) and a destination image Id({right arrow over (x)}?). Next, an edge gradient parameter (Ise({right arrow over (x)}), Ide({right arrow over (x)}?) is computed according to the source image Is({right arrow over (x)}) and the destination image Id({right arrow over (x)}?). Next, a total objective function E(Df,Db) is computed according to the above-mentioned control point CP and edge gradient parameter (Ise({right arrow over (x)}), Ide({right arrow over (x)}?)). The above-mentioned intermediate image sequence is generated by using the total objective function E(Df,Db). The present invention utilizes the edge gradients of the source image Is({right arrow over (x)}) and the destination image Id({right arrow over (x)}?) to enhance the constraint of image morphing. Thus, the image morphing effect is promoted.

Abstract: A system and method for rotating a source image by a first non-zero angle is provided. The method includes: defining a template for the source image, the template representing a rotation of the source image about an axis of the source image by second angle, where the second angle is the negative of the first non-zero angle; determining overlap between the template and the source image; separating the template into a plurality of strips covering at least the area of overlap; and for each strip: indentifying an initial pixel in the source image within the strip and storing the image data of the initial pixel; storing the image data of all remaining pixels within both the strip and the overlap in a database format in which the all remaining pixels is defined by a Y and X offset from the initial pixel.

Abstract: A method of rotating a digital image includes performing a first pass to process a selected image tile of a source image. The first pass includes copying a set of pixels of the selected image tile from a first memory to a processor memory, where the set of pixels comprises a portion of the selected image tile. The first pass further includes grouping the set of pixels into blocks of pixels and writing each of the blocks of pixels to a memory location. The method further includes repeating the first pass until each of the pixels of the selected image tile is processed, performing a second pass to process the blocks of pixels, and repeating the second pass until each of the blocks of pixels is processed. The second pass includes copying blocks of pixels, regrouping the blocks of pixels, and writing the regrouped pixels to a destination image location.

Abstract: According to the present invention, the face of a subject person can be rapidly detected. An image input unit inputs an image to be processed. A photographing-position input unit inputs photographing-position information attached to the processed image. An angle-range information determination unit determines an angle range, where face detection should be performed to the processed image, on the basis of the information obtained by the photographing-position information input unit. On the basis of information indicating the determined angle range, under the control of a process control unit, a face detection unit performs face detection to the processed image input by the image input unit in predetermined angle increments. A face integration unit integrates all of face data detected by a basic-angle-range face detection unit into face information and then outputs the information.

Abstract: System and method for detecting symmetries of configurations of discrete curves. Configuration characterization information for a configuration of a plurality of discrete curves is received, where the configuration characterization information comprises rotational symmetry groups for each of the plurality of discrete curves. A greatest common divisor of the rotational symmetry groups of the discrete curves is determined, where the greatest common divisor is a maximum possible object-based mutual rotational symmetry group for the configuration. The determined value is stored, and is usable to perform pattern matching between configurations. This value may be compared to that of a target configuration to determine if the two configurations can match.

Abstract: A method of generating an image of a single document includes the steps of: transporting a plurality of documents across a scan position one by one; starting reading the documents at the scan position before a first document of the documents reaches the scan position and reading the documents continuously until a last document of the documents is completely transported across the scan position to generate a multi-document analog image; converting the multi-document analog image into a multi-document digital image; and processing the multi-document digital image to generate a plurality of single-document digital images corresponding to the documents.

Abstract: An image process capable of rapidly detecting and correcting the inclination of a document image is executed as follows. Dots are put on a document image at even intervals and the document image is printed to provide a printed object. The printed object is read with a scanner to provide image data. Processes are performed on the image data with a plurality of filters for detecting dots corresponding to a plurality of inclinations to calculate the degrees of agreement between the data and the filters. The inclination angle of a filter exhibiting a highest degree of agreement is set to the inclination angle.

Abstract: Biometric data are obtained through a biometric input device (120) and subsequently pixelated via a pixelator (130). The pixelator (130) creates an image of the biometric data. Via a processing unit (110), a relationship between pixels of a transformed version of the image is asserted. Thus, the biometric data is rotated to a consistent inclination based on the relationship between pixels regardless of an orientation in which the biometric data were captured in the original image. Once the image has been transformed, features of the biometric data may be extracted and either stored in a data storage unit (140) or compared with previously stored feature values for validation of the biometric data.

Abstract: In an image registration method, edges are detected in a first image and a second image. A percentage of edge pixels in a subset of the second image that are also edges in the first image shifted by a translation is calculated. A best registration point is calculated based on a maximum percentage of edges matched. In a predefined search region, all registration points other than the best registration point are identified that are not significantly worse than the best registration point according to a predetermined statistical criterion.

Abstract: A method of automatically establishing the correct orientation of an image using facial information. This method is based on the exploitation of the inherent property of image recognition algorithms in general and face detection in particular, where the recognition is based on criteria that is highly orientation sensitive. By applying a detection algorithm to images in various orientations, or alternatively by rotating the classifiers, and comparing the number of successful faces that are detected in each orientation, one may conclude as to the most likely correct orientation. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images.

Abstract: Bit data is encoded into characters in an input image by providing different darkness levels for pixels in either half of a text character. In order to detect document skew angle error prior to attempting to extract an encoded message, the orientation angle of text line(s) in the input image is determined, and a document skew angle is estimated from the line orientation angle(s). A Hough transform may be used to estimate line orientation angle. To determine if an input image of a document is orientated horizontally or vertically, the input image may be scanned for text characters along a first reference angle, and along a second angle 90° to the first angle. The scan that provides the higher number of potential text character is selected as the correct orientation for the input image.

Abstract: A method and apparatus of correcting geometric information and providing a panoramic view. In the method of providing a panoramic view, a tilting vector (X?, Y?) is generated by applying matrices H(a,b) and HF to a source image vector (X,Y). The matrix H(a,b) is defined by distortion angles “b” towards a plane direction and a distortion angle “a” towards a depth direction of the source image, and the matrix HF is defined according to a camera parameter matrix K. Also, a two-dimensional vector (x,y) of a source image is converted into a three-dimensional vector (X,Y,W) on a retinal image plane having a unit radial distance from an origin of a ground plane. Also, a warped image width (WIW) is estimated from a width and a field of view (FOV) of the source image. A warping vector (x?,y?) is generated based on the converted vector (X,Y,W) and the WIW.

Abstract: The invention relates to an optoelectronic angle sensor (1a) for determining a rotational angle about an axis (6), comprising a circular disk (2a) that can be rotated about the axis. Said circular disk comprises a coding, essentially over the entire surface, a flat photosensitive detector (3a), a device for producing an evaluable image of the coding on the detector and a memory and evaluation component (4a) for determining the rotational angle. A largely complete, or in particular an entire image of the coding is produced on the detector. The rotational angle is determined using a parameter-varying stochastic comparison method, from the image and a parameterised electronic reference pattern that is provided by means of the memory and evaluation component.

Abstract: A method of detecting and correcting camera rotation in a digital camera, that includes the steps of: capturing a digital image to provide a captured digital image; and analyzing the captured digital image to detect a set of lines. The set of lines are used to determine a rotation angle of the captured digital image; and the captured digital image is modified based on the rotation angle, before storing the modified digital image.

Abstract: An image forming apparatus and method capable of decompressing and compressing image data. More specifically, the apparatus and method include decompressing first compressed image data, processing the decompressed image data, selecting from among a plurality of quantization tables a quantization table providing a compression ratio lower than a compression ratio of the first compressed image data, and compressing the processed image data.

Abstract: An image forming apparatus prints images on print sheets, and insets tab-index sheets between the printed print sheets. The image forming apparatus includes an orientation detecting unit which detects an orientation of a print sheet being supplied, a rotation-angle selecting unit which selects a rotation angle of an image such that the image is arranged in an orientation matching the detected orientation of the print sheet and in a predetermined positional relationship with a tab of the tab-index sheets, and a printing unit which prints the image being rotated by the selected rotation angle.

Abstract: A method of rotating a digital image includes performing a first pass to process a selected image tile of a source image. The first pass includes copying a set of pixels of the selected image tile from a first memory to a processor memory, where the set of pixels comprises a portion of the selected image tile. The first pass further includes grouping the set of pixels into blocks of pixels and writing each of the blocks of pixels to a memory location. The method further includes repeating the first pass until each of the pixels of the selected image tile is processed, performing a second pass to process the blocks of pixels, and repeating the second pass until each of the blocks of pixels is processed. The second pass includes copying blocks of pixels, regrouping the blocks of pixels, and writing the regrouped pixels to a destination image location.

Abstract: The apparatus of the present invention preferably comprises an image sensor, an orientation sensor, a memory and a processing unit. The image sensor is used for generating captured image data. The orientation sensor is coupled to the image sensor, and is used for generating signals relating to the position of the image sensor. The memory, has an auto-rotate unit comprising program instructions for transforming the captured image data into rotated image data in response to the orientation sensor signals. The processing unit, executes program instructions stored in the memory, and is coupled to the image sensor, the orientation sensor and the memory. The method of the present invention preferably comprises the steps of: generating image data representative of an object with an image sensor; identifying an orientation of the image sensor relative to the object during the generating step; and selectively transferring the image data to an image processing unit in response to the identifying step.